Sökning: "Bankruptcy prediction"

Visar resultat 6 - 10 av 76 uppsatser innehållade orden Bankruptcy prediction.

1. 6. Using the advanced methods of financial analysis to predict the bankruptcy of companies

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Ahmad Haitham Meslemani; Pai Peng; [2022-06-30]
   Nyckelord :Bankruptcy; predict financial analysis; Corporate evaluation; credit risk management; financial ratio; Failure determinants;

   Sammanfattning : Due to the increase in corporate bankruptcy cases worldwide, the need has increased to find a way to protect companies from bankruptcy by finding a scientific model that enables business owners to predict it before it occurs. Therefore, the interest in predicting bankruptcy has recently become one of the most critical topics in accounting, finance, and finance. LÄS MER

3. 7. Predicting corporate financial distress- A deep neural network approach

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Adam Eklund; Petter Lundgren; [2022-06-29]
   Nyckelord :;

   Sammanfattning : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. LÄS MER

4. 8. Bankruptcy determinants among Swedish SMEs : - The predictive power of financial measures

   Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

   Författare :Oliver Andersson; Henning Kihlberg; [2022]
   Nyckelord :bankruptcy; default; probability of default; bankruptcy prediction; bankruptcy determinants; SMEs; financial measures; logistic regression;

   Sammanfattning : The main purpose of this paper is to provide evidence of financial leverage, liquidity, profitability, and firm size ability to predict bankruptcy of Swedish small and medium-sized enterprises (SMEs), and to create a bankruptcy prediction model for Swedish SMEs. The sample consists of 1086 Swedish SMEs, among which 543 did go bankrupt between 2015 and 2019. LÄS MER

5. 9. Predicting company bankruptcy using artificial neural networks. : Visualization and ranking of key features

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jacob Wirgård WIklund; [2022]
   Nyckelord :;

   Sammanfattning : This paper presents a deep learning model that challenges what is known in the financial field of company bankruptcy. Specifically, a Multilayer Perceptron (MLP) model for predicting corporate bankruptcies is constructed and analyzed to visualize which input parameters that are most important for the accuracy of the model. LÄS MER

7. 10. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques

   Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Arooba Ghaffar; [2022]
   Nyckelord :Bankruptcy prediction; Earnings Calls; Machine Learnings; Deep Learnings; Corporate failures; Web Scraping; Financial Data; Extracted Data;

   Sammanfattning : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. LÄS MER